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  High predictability potential of highly synchronized widespread floods in monsoon regions

Zhang, J., Liu, K., Wang, M., Li, K., Cai, F., Ludescher, J., Kurths, J., Marwan, N. (2026): High predictability potential of highly synchronized widespread floods in monsoon regions. - Journal of Hydrology, 668, 135006.
https://doi.org/10.1016/j.jhydrol.2026.135006

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externe Referenz:
https://doi.org/10.5281/zenodo.13382051 (Code)
Beschreibung:
-
OA-Status:
Keine Angabe
externe Referenz:
https://gpm.nasa.gov/data/directory (Forschungsdaten)
Beschreibung:
Precipitation Data Directory
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Keine Angabe
Beschreibung:
NCEP-NCAR Reanalysis 1
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https://psl.noaa.gov/data/climateindices/list/ (Forschungsdaten)
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Climate Indices: Monthly Atmospheric and Ocean Time Series
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externe Referenz:
https://floodobservatory.colorado.edu/wiki/ (Forschungsdaten)
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Space-based Measurement, Mapping, and Modeling of Surface Water
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externe Referenz:
https://doi.org/10.5281/zenodo.6831383 (Forschungsdaten)
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Flood Detection Using GRACE Terrestrial Water Storage and Extreme Precipitation
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Urheber

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 Urheber:
Zhang, Jianxin1, Autor
Liu, Kai1, Autor
Wang, Ming1, Autor
Li, Kaiwen1, Autor
Cai, Fenying1, Autor
Ludescher, Josef2, Autor           
Kurths, Jürgen2, Autor           
Marwan, Norbert2, Autor                 
Affiliations:
1External Organizations, ou_persistent22              
2Potsdam Institute for Climate Impact Research, ou_persistent13              

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 Zusammenfassung: The spatio-temporal distribution characteristics of widespread flood events and their prediction are topics of global concern. However, there is a noticeable absence of thorough investigations and analyses regarding the spatio-temporal characteristics, predictability of global widespread flood events, and the corresponding impact of climate indices. We bridge this gap by employing recurrence quantification analysis to evaluate the predictability potential of globally widespread flood events. We further examine how this potential correlates with highly synchronized widespread flood events in monsoon regions. Our results show that regions with high flood predictability potential (HFP) account for 20.09% of the world’s total land grid points. Specifically, 69.29% of the HFP grid points among them are located in eight monsoon regions. Highly synchronized and widespread flood events (HSEs) exhibit higher predictability potential in monsoon regions. We uncover that HSEs in the Australian–Maritime Continent Monsoon and Equatorial South America Monsoon regions are profoundly and intricately influenced by climate indices. Our findings establish a connection between the predictive capacity and the occurrence of widespread flood events, viewed through the lens of complex systems. This contributes a crucial reference point for understanding and forecasting future globally widespread flood events.

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Sprache(n): eng - English
 Datum: 2025-04-252026-01-192026-01-242026-04-01
 Publikationsstatus: Final veröffentlicht
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: Expertenbegutachtung
 Identifikatoren: DOI: 10.1016/j.jhydrol.2026.135006
PIKDOMAIN: RD1 - Earth System Analysis
PIKDOMAIN: RD4 - Complexity Science
Organisational keyword: RD1 - Earth System Analysis
Organisational keyword: RD4 - Complexity Science
MDB-ID: No MDB - stored outside PIK (see locators/paper)
 Art des Abschluß: -

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Quelle 1

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Titel: Journal of Hydrology
Genre der Quelle: Zeitschrift
 Urheber:
Affiliations:
Ort, Verlag, Ausgabe: -
Seiten: - Band / Heft: 668 Artikelnummer: 135006 Start- / Endseite: - Identifikator: CoNE: https://publications.pik-potsdam.de/cone/journals/resource/1879-2707
Publisher: Elsevier